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ÂÜÀòÊÓƵResearch Studies
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Research Studies is a compilation of published research articles funded by ÂÜÀòÊÓƵor authored by ÂÜÀòÊÓƵresearchers.
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1 to 2 of 2 Research Studies DisplayedSalwei ME, Hoonakker PLT, Pulia M
Retrospective analysis of the human-centered design process used to develop a clinical decision support in the emergency department: PE Dx Study Part 2.
With the growing implementation and use of health IT such as Clinical Decision Support (CDS), there is increasing attention on the potential negative impact of these technologies on patients (e.g., medication errors) and clinicians (e.g., increased workload, decreased job satisfaction, burnout). Human-Centered Design (HCD) and Human Factors (HF) principles are recommended to improve the usability of health IT and reduce its negative impact on patients and clinicians; however, challenges persist. The purpose of this study was to examine how a Human-Centered Design (HCD) process impacts the usability of health IT. The researchers conducted a systematic retrospective analysis of the HCD process utilized in the design of a Clinical Decision Support (CDS) for pulmonary embolism diagnosis in the emergency department (ED). The study identified gaps in the current HCD process, 7 design outcomes of the HCD process, and the need for a continuous health IT design process.
AHRQ-funded; HS026395; HS029042; HS024558; HS022086.
Citation: Salwei ME, Hoonakker PLT, Pulia M .
Retrospective analysis of the human-centered design process used to develop a clinical decision support in the emergency department: PE Dx Study Part 2.
Hum Factors Health 2023 Dec; 4:100055. doi: 10.1016/j.hfh.2023.100055..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Emergency Department
Co Z, Holmgren AJ, Classen DC
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
This study evaluated the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in 2017 and 2018 and compared performances for fatal orders and nuisance orders each year. The authors evaluated 1599 hospitals that took the test by using their overall percentage scores along with the percentage of fatal orders appropriately alerted on and the percentage of nuisance orders incorrectly alerted on. Overall hospital scores improved from 58.1% in 2017 to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0%, but there no very little change in nuisance order performance (89.0% to 89.7%). Conclusions were that perhaps hospitals are not targeting the deadliest orders first and some hospitals may be achieving higher scores by over-alerting. This has the potential to cause clinician burnout and even worsen patient safety.
AHRQ-funded; HS023696.
Citation: Co Z, Holmgren AJ, Classen DC .
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
J Am Med Inform Assoc 2020 Aug;27(8):1252-58. doi: 10.1093/jamia/ocaa098..
Keywords: Medication: Safety, Medication, Patient Safety, Clinical Decision Support (CDS), Shared Decision Making, Burnout, Hospitals, Health Information Technology (HIT), Quality of Care
